Deep brain stimulation for childhood dystonia: current evidence and emerging practice
Bibliographic record
Abstract
INTRODUCTION: Dystonia, one of the most common childhood movement disorders, is often medically refractory and can lead to profound impacts on the child and their caretakers' quality of life. Limited efficacy of pharmacological treatments has fueled enthusiasm for innovative neurosurgical approaches, notably deep brain stimulation (DBS) as a treatment for refractory dystonia. Areas covered: DBS is increasingly applied to successfully treat childhood dystonia. While generally safe and effective, results vary widely depending on underlying dystonia etiology. The current work synthesizes and highlights advances in research pertaining to the use of DBS for childhood dystonia. The efficacy of DBS for children and youth with dystonia is discussed, with analysis divided among etiological subtypes. The role of DBS as a lifesaving treatment for status dystonicus is also reviewed. Expert commentary: When carefully selected, certain children and youth with dystonia experience significant symptomatic improvement after DBS. Beyond dystonic symptoms, DBS can improve quality of life and reduce caretaker burden.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".